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» Proving Time Bounds for Randomized Distributed Algorithms
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SPAA
2004
ACM
15 years 3 months ago
On achieving optimized capacity utilization in application overlay networks with multiple competing sessions
In this paper, we examine the problem of large-volume data dissemination via overlay networks. A natural way to maximize the throughput of an overlay multicast session is to split...
Yi Cui, Baochun Li, Klara Nahrstedt
AAAI
2008
15 years 3 days ago
Clustering via Random Walk Hitting Time on Directed Graphs
In this paper, we present a general data clustering algorithm which is based on the asymmetric pairwise measure of Markov random walk hitting time on directed graphs. Unlike tradi...
Mo Chen, Jianzhuang Liu, Xiaoou Tang
JOTA
2010
117views more  JOTA 2010»
14 years 8 months ago
Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization
We consider a distributed multi-agent network system where the goal is to minimize a sum of agent objective functions subject to a common set of constraints. For this problem, we p...
S. Sundhar Ram, Angelia Nedic, Venugopal V. Veerav...
SPAA
2005
ACM
15 years 3 months ago
Decentralized algorithms using both local and random probes for P2P load balancing
We study randomized algorithms for placing a sequence of n nodes on a circle with unit perimeter. Nodes divide the circle into disjoint arcs. We desire that a newly-arrived node (...
Krishnaram Kenthapadi, Gurmeet Singh Manku
ICDT
2009
ACM
148views Database» more  ICDT 2009»
15 years 10 months ago
Tight results for clustering and summarizing data streams
In this paper we investigate algorithms and lower bounds for summarization problems over a single pass data stream. In particular we focus on histogram construction and K-center c...
Sudipto Guha